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Large language models are limited by challenges in factuality and hallucinations to be directly employed off-the-shelf for judging the veracity of news articles, where factual accuracy is paramount.
Framing: Toward clarification of a fractured paradigm
Robert Entman. 1993 · 1993
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Basic emotions
Paul Ekman et al. 1999 · 1999
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Automatically identifying fake news in popular twitter threads
Cody Buntain and Jennifer Golbeck. 2017 · 2017
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On calibration of modern neural networks
Chuan Guo, Geoff Pleiss, Yu Sun, and Kilian Q Weinberger. 2017 · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling. 2017 · 2017
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A systematic media frame analysis of 1.5 million new york times articles from 2000 to 2017
Haewoon Kwak, Jisun An, and Yong-Yeol Ahn. 2020 · 2017
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News and political information consumption in mexico: Mapping the 2018 mexican presidential election on twitter and facebook
Monika Glowacki, Vidya Narayanan, Sam Maynard, Gustavo Hirsch, Bence Kollanyi, Lisa-Maria Neudert, Phil Howard, Thomas Lederer, and Vlad Barash · 2018
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Rumor detection on twitter with tree-structured recursive neural networks
Jing Ma, Wei Gao, and Kam-Fai Wong. 2018 · 2018
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The role of user profiles for fake news detection
Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, and Huan Liu. 2019b · 2019
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How powerful are graph neural networks?
Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. 2019 · 2019
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
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Rumor detection on social media with bi-directional graph convolutional networks
Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, and Junzhou Huang. 2020 · 2020
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Cnn, rnn-lstm based hybrid approach to detect state-of-the-art stance-based fake news on social media
MDP P Goonathilake and PPN V Kumara. 2020 · 2020
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Caution: Rumors ahead—a case study on the debunking of false information on twitter
Anna-Katharina Jung, Björn Ross, and Stefan Stieglitz. 2020 · 2020
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Evaluating the factual consistency of abstractive text summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher. 2020 · 2020
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Gcan: Graph-aware co-attention networks for explainable fake news detection on social media
Yi-Ju Lu and Cheng-Te Li. 2020 · 2020
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Semeval-2020 task 11: Detection of propaganda techniques in news articles (version semeval-2020)
Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, and Preslav Nakov. 2020 · 2020
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The role of the crowd in countering misinformation: A case study of the covid-19 infodemic
Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, and Nasir Memon. 2020 · 2020
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Fang: Leveraging social context for fake news detection using graph representation
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, and Min-Yen Kan. 2020 · 2020
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Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. 2020 · 2020
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On the dangers of stochastic parrots: Can language models be too big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
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Editing factual knowledge in language models
Nicola De Cao, Wilker Aziz, and Ivan Titov. 2021 · 2021
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Kan: Knowledge-aware attention network for fake news detection
Yaqian Dun, Kefei Tu, Chen Chen, Chunyan Hou, and Xiaojie Yuan. 2021 · 2021
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Infosurgeon: Cross-media fine-grained information consistency checking for fake news detection
Yi Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen McKeown, Mohit Bansal, and Avirup Sil. 2021 · 2021
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Do language models have beliefs? methods for detecting, updating, and visualizing model beliefs
Peter Hase, Mona Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, and Srinivasan Iyer. 2021 · 2021
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Deberta: decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2021
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Bert model for fake news detection based on social bot activities in the covid-19 pandemic
Maryam Heidari, Samira Zad, Parisa Hajibabaee, Masoud Malekzadeh, SeyyedPooya HekmatiAthar, Ozlem Uzuner, and James H Jones. 2021 · 2021
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Compare to the knowledge: Graph neural fake news detection with external knowledge
Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, and Ming Zhou. 2021 · 2021
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On transferability of bias mitigation effects in language model fine-tuning
Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, and Xiang Ren. 2021 · 2021
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Modeling framing in immigration discourse on social media
Julia Mendelsohn, Ceren Budak, and David Jurgens. 2021 · 2021
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Understanding factuality in abstractive summarization with frank: A benchmark for factuality metrics
Artidoro Pagnoni, Vidhisha Balachandran, and Yulia Tsvetkov. 2021 · 2021
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The surprising performance of simple baselines for misinformation detection
Kellin Pelrine, Jacob Danovitch, and Reihaneh Rabbany. 2021 · 2021
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Rumor detection on social media with graph structured adversarial learning
Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, and Xi Zhang. 2021 · 2021
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Mining dual emotion for fake news detection
Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, and Kai Shu. 2021 · 2021
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Twitter-comms: Detecting climate, covid, and military multimodal misinformation
Giscard Biamby, Grace Luo, Trevor Darrell, and Anna Rohrbach. 2022 · 2022
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Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al. 2022 · 2022
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A survey of natural language generation
Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, and Min Yang. 2022 · 2022
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Misinfo reaction frames: Reasoning about readers’ reactions to news headlines
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, and Yejin Choi. 2022 · 2022
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Public wisdom matters! discourse-aware hyperbolic fourier co-attention for social text classification
Karish Grover, SM Angara, Md Shad Akhtar, and Tanmoy Chakraborty. 2022 · 2022
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Applying automatic text summarization for fake news detection
Philipp Hartl and Udo Kruschwitz. 2022 · 2022
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Towards fine-grained reasoning for fake news detection
Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, and Xing Xie. 2022 · 2022
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Interpretable multimodal misinformation detection with logic reasoning
Hui Liu, Wenya Wang, and Haoliang Li. 2023 · 2023
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Fighting fire with fire: The dual role of llms in crafting and detecting elusive disinformation
Jason Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, and Dongwon Lee. 2023 · 2023
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Kapalm: Knowledge graph enhanced language models for fake news detection
Jing Ma, Chen Chen, Chunyan Hou, and Xiaojie Yuan. 2023b · 2023
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When not to trust language models: Investigating effectiveness of parametric and non-parametric memories
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, and Hannaneh Hajishirzi. 2023 · 2023
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Human-in-the-loop evaluation for early misinformation detection: A case study of COVID-19 treatments
Ethan Mendes, Yang Chen, Wei Xu, and Alan Ritter. 2023 · 2023
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Nikhil Mehta, María Leonor Pacheco, and Dan Goldwasser. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
Learning to retrieve prompts for in-context learning
Ohad Rubin, Jonathan Herzig, and Jonathan Berant. 2022 · 2022
Cited alongside, same era.
Zoom out and observe: News environment perception for fake news detection
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, and Yongchun Zhu. 2022 · 2022
Cited alongside, same era.
Detecting computer-generated disinformation
Harald Stiff and Fredrik Johansson. 2022 · 2022
Cited alongside, same era.
Zlpr: A novel loss for multi-label classification
Jianlin Su, Mingren Zhu, Ahmed Murtadha, Shengfeng Pan, Bo Wen, and Yunfeng Liu. 2022 · 2022
Cited alongside, same era.
Duck: Rumour detection on social media by modelling user and comment propagation networks
Lin Tian, Xiuzhen Jenny Zhang, and Jey Han Lau. 2022 · 2022
Cited alongside, same era.
Pesto: a post-user fusion network for rumour detection on social media
Erxue Min and Sophia Ananiadou. 2023 · 2023
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Using llm for improving key event discovery: Temporal-guided news stream clustering with event summaries
Nishanth Nakshatri, Siyi Liu, Sihao Chen, Dan Roth, Dan Goldwasser, and Daniel Hopkins. 2023 · 2023
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On the risk of misinformation pollution with large language models
Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, and William Yang Wang. 2023b · 2023
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Towards reliable misinformation mitigation: Generalization, uncertainty, and GPT-4
Kellin Pelrine, Anne Imouza, Camille Thibault, Meilina Reksoprodjo, Caleb Gupta, Joel Christoph, Jean-François Godbout, and Reihaneh Rabbany. 2023 · 2023
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Fake news detection: A survey of graph neural network methods
Huyen Trang Phan, Ngoc Thanh Nguyen, and Dosam Hwang. 2023 · 2023
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Semeval-2023 task 3: Detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup
Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, and Preslav Nakov. 2023 · 2023
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Probing llms for hate speech detection: strengths and vulnerabilities
Sarthak Roy, Ashish Harshvardhan, Animesh Mukherjee, and Punyajoy Saha. 2023 · 2023
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Countering misinformation via emotional response generation
Daniel Russo, Shane Kaszefski-Yaschuk, Jacopo Staiano, and Marco Guerini. 2023 · 2023
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Fake news detection using stance extracted multimodal fusion-based hybrid neural network
Sudhakar Sengan, Subramaniyaswamy Vairavasundaram, Logesh Ravi, Ahmad Qasim Mohammad AlHamad, Hamzah Ali Alkhazaleh, and Meshal Alharbi. 2023 · 2023
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On second thought, let’s not think step by step! bias and toxicity in zero-shot reasoning
Omar Shaikh, Hongxin Zhang, William Held, Michael S. Bernstein, and Diyi Yang. 2023 · 2023
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Replug: Retrieval-augmented black-box language models
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, and Wen-tau Yih. 2023 · 2023
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The performance of graph neural network in detecting fake news from social media feeds
Iftekharul Islam Shovon and Seokjoo Shin. 2023 · 2023
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From chaos to clarity: Claim normalization to empower fact-checking
Megha Sundriyal, Tanmoy Chakraborty, and Preslav Nakov. 2023 · 2023
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Not all fake news is written: A dataset and analysis of misleading video headlines
Yoo Yeon Sung, Jordan L. Boyd-Graber, and Naeemul Hassan. 2023 · 2023
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Just ask for calibration: Strategies for eliciting calibrated confidence scores from language models fine-tuned with human feedback
Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, and Christopher D Manning. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Does human collaboration enhance the accuracy of identifying llm-generated deepfake texts?
Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Dongwon Lee, et al. 2023 · 2023
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Attacking fake news detectors via manipulating news social engagement
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S Yu, and Kai Shu. 2023 · 2023
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Leveraging contrastive learning and knowledge distillation for incomplete modality rumor detection
Fan Xu, Pinyun Fu, Qi Huang, Bowei Zou, AiTi Aw, and Mingwen Wang. 2023a · 2023
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Rumor detection on social media with crowd intelligence and chatgpt-assisted networks
Chang Yang, Peng Zhang, Wenbo Qiao, Hui Gao, and Jiaming Zhao. 2023a · 2023
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WSDMS: debunk fake news via weakly supervised detection of misinforming sentences with contextualized social wisdom
Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, and Zhiwei Yang. 2023b · 2023
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Metaadapt: Domain adaptive few-shot misinformation detection via meta learning
Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang, and Dong Wang. 2023 · 2023
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Automated claim matching with large language models: empowering fact-checkers in the fight against misinformation
Eun Cheol Choi and Emilio Ferrara. 2024 · 2024
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Don’t hallucinate, abstain: Identifying llm knowledge gaps via multi-llm collaboration
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, and Yulia Tsvetkov. 2024 · 2024
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Bad actor, good advisor: Exploring the role of large language models in fake news detection
Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi. 2024 · 2024
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Chain of history: Learning and forecasting with llms for temporal knowledge graph completion
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Value kaleidoscope: Engaging ai with pluralistic human values, rights, and duties
Taylor Sorensen, Liwei Jiang, Jena D Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, et al. 2024 · 2024
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Bayesian graph local extrema convolution with long-tail strategy for misinformation detection
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Thrust: Adaptively propels large language models with external knowledge
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User preference-aware fake news detection
Yingtong Dou, Kai Shu, Congying Xia, Philip S Yu, and Lichao Sun. 2021 · 2055
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